Abdulkadir Çelikkanat

According to our database, Abdulkadir Çelikkanat authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations.

Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann, Morten Mørup

IEEE Trans. Knowl. Data Eng., April, 2024

Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model.

Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Sune Lehmann, Morten Mørup

CoRR, 2024

Continuous-Time Graph Representation with Sequential Survival Process.

Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multiple Kernel Representation Learning on Networks.

Abdulkadir Çelikkanat, Yanning Shen, Fragkiskos D. Malliaros

IEEE Trans. Knowl. Data Eng., June, 2023

A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks.

Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup

Adv. Complex Syst., May, 2023

Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model.

Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Christian Djurhuus, Felix Burmester, Daniel Mathias Holmelund, Monika Frolcová, Morten Mørup

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

BraneMF: integration of biological networks for functional analysis of proteins.

Surabhi Jagtap, Abdulkadir Çelikkanat, Aurélie Pirayre, Frédérique Bidard, Laurent Duval, Fragkiskos D. Malliaros

Bioinform., December, 2022

A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations.

Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann Jørgensen, Morten Mørup

CoRR, 2022

Piecewise-Velocity Model for Learning Continuous-Time Dynamic Node Representations.

Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup

Proceedings of the Learning on Graphs Conference, 2022

HM-LDM: A Hybrid-Membership Latent Distance Model.

Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup

Proceedings of the Complex Networks and Their Applications XI, 2022

NodeSig: Binary Node Embeddings via Random Walk Diffusion.

Abdulkadir Çelikkanat, Fragkiskos D. Malliaros, Apostolos N. Papadopoulos

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

Graph Representation Learning with Random Walk Diffusions. (Apprentissage de représentations sur graphes par diffusions de marche aléatoire).

Abdulkadir Çelikkanat

PhD thesis, 2021

Topic-aware latent models for representation learning on networks.

Abdulkadir Çelikkanat, Fragkiskos D. Malliaros

Pattern Recognit. Lett., 2021

Multiomics Data Integration for Gene Regulatory Network Inference with Exponential Family Embeddings.

Surabhi Jaatan, Abdulkadir Çelikkanat, Aurelic Piravre, Frédérique Bidard, Laurent Duval, Fragkiskos D. Malliaros

Proceedings of the 29th European Signal Processing Conference, 2021

2020

NodeSig: Random Walk Diffusion meets Hashing for Scalable Graph Embeddings.

Abdulkadir Çelikkanat, Apostolos N. Papadopoulos, Fragkiskos D. Malliaros

CoRR, 2020

Exponential Family Graph Embeddings.

Abdulkadir Çelikkanat, Fragkiskos D. Malliaros

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Kernel Node Embeddings.

Abdulkadir Çelikkanat, Fragkiskos D. Malliaros

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018

TNE: A Latent Model for Representation Learning on Networks.

Abdulkadir Çelikkanat, Fragkiskos D. Malliaros

CoRR, 2018